|heRddlZddlmZddlmZddlmZddlmZGddeZ y)N) LetterBox) BasePredictor)Results)opsceZdZdZdZdZy)RTDETRPredictoraM RT-DETR (Real-Time Detection Transformer) Predictor extending the BasePredictor class for making predictions. This class leverages Vision Transformers to provide real-time object detection while maintaining high accuracy. It supports key features like efficient hybrid encoding and IoU-aware query selection. Attributes: imgsz (int): Image size for inference (must be square and scale-filled). args (dict): Argument overrides for the predictor. model (torch.nn.Module): The loaded RT-DETR model. batch (list): Current batch of processed inputs. Methods: postprocess: Postprocess raw model predictions to generate bounding boxes and confidence scores. pre_transform: Pre-transform input images before feeding them into the model for inference. Examples: >>> from ultralytics.utils import ASSETS >>> from ultralytics.models.rtdetr import RTDETRPredictor >>> args = dict(model="rtdetr-l.pt", source=ASSETS) >>> predictor = RTDETRPredictor(overrides=args) >>> predictor.predict_cli() c t|ttfs|dg}|djd}|dj d|dz fd\}}t|tst j |}g}t||||jdD]>\}} } } t j|}| jdd\} } | jd|jjkD}|jjJ| tj |jj| j"k(j%d |z}tj&|| | gd|}| jdd \}}|d dd gfxx|zcc<|d d d gfxx|zcc<|j)t+| | |j,j.| A|S)a* Postprocess the raw predictions from the model to generate bounding boxes and confidence scores. The method filters detections based on confidence and class if specified in `self.args`. It converts model predictions to Results objects containing properly scaled bounding boxes. Args: preds (list | tuple): List of [predictions, extra] from the model, where predictions contain bounding boxes and scores. img (torch.Tensor): Processed input images with shape (N, 3, H, W). orig_imgs (list | torch.Tensor): Original, unprocessed images. Returns: results (List[Results]): A list of Results objects containing the post-processed bounding boxes, confidence scores, and class labels. Nr)dimT)keepdim)device.)pathnamesboxes) isinstancelisttupleshapesplitrconvert_torch2numpy_batchzipbatch xywh2xyxymaxsqueezeargsconfclassestorchtensorranycatappendrmodelr)selfpredsimg orig_imgsndbboxesscoresresultsbboxscoreorig_imgimg_path max_scoreclsidxpredohows `/var/www/html/test/engine/venv/lib/python3.12/site-packages/ultralytics/models/rtdetr/predict.py postprocesszRTDETRPredictor.postprocess$s"%$/DME 1X^^B qBF <)T*55i@I/2669djjYZm/\ a +D%8==&D"YYr4Y8NIs##B'$))..8Cyy  ,ell499+<+rPs$ .6.!P0mP0r=